Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add EthanAlgoX/LLM-TradeBot --skill us-macro-reviewgit clone --depth 1 https://github.com/EthanAlgoX/LLM-TradeBotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ethanalgox/llm-tradebot/us-macro-review)<a href="https://agentmods.dev/skills/ethanalgox/llm-tradebot/us-macro-review"><img src="https://agentmods.dev/badge/skills/ethanalgox/llm-tradebot/us-macro-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ethanalgox/llm-tradebot/us-macro-review"><img src="https://agentmods.dev/badge/skills/ethanalgox/llm-tradebot/us-macro-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.00266 |
| Opus 5 | $0.00011 | $0.00133 |
| Sonnet 5 | $0.00004 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
us-macro-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
美股增长—通胀—Fed 分析
并行分析两条链路：通胀 → Fed → 实际利率 → 估值；增长 → 企业盈利 → 股价。
- 2Y 反映政策路径，10Y 反映长期折现率，10Y 实际利率用于判断成长估值压力。
- CPI、就业和 PMI 等低频发布只与自身前值比较，不把发布时间差异当成同步信号。
- 经济数据偏强可能通过更鹰的利率路径压制估值，必须说明正负两条传导。
- 高收益债利差和 VIX 用于复核股票风险偏好；若信号冲突，保留分歧。
- 输出基准、偏鹰和衰退三个情景的观察条件，不虚构 Fed Funds Futures 数据。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 23 lines · 22 tokens per session scan A dee9a58aa040
us-macro-review is a skill published in the GitHub repository EthanAlgoX/LLM-TradeBot (316 stars, last pushed 3d ago), licensed MIT. It adds 22 tokens to every session and 266 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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